A Machine Learning approach to Finite Element Methods, using U-Net inspired architectures.
☆31Jul 26, 2019Updated 7 years ago
Alternatives and similar repositories for UNet-for-FEM-and-Stress-Distribution-Inference
Users that are interested in UNet-for-FEM-and-Stress-Distribution-Inference are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- A deep learning approach to estimate stress distribution: a fast and accurate surrogate of finite-element analysis☆28Jun 14, 2018Updated 8 years ago
- This repository contains code for a project that trains a neural network to solve solid mechanics problems faster than the traditional fi…☆12Sep 28, 2023Updated 2 years ago
- Predict the wall shear stress along the coronary artery using Deep Learning☆13Aug 9, 2021Updated 5 years ago
- Python code for solving 3D structural problems with uncertainties using the finite element method☆12Jul 12, 2025Updated last year
- ☆38Dec 29, 2017Updated 8 years ago
- Managed hosting for WordPress and PHP on Cloudways • AdManaged hosting for WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Deploy in minutes on Cloudways by DigitalOcean.
- A kind of loss function based on Least Squares Weighted Residual method for computational solid mechanics☆63Apr 19, 2026Updated 4 months ago
- In this project I use the generated dataset of stress analysis results of FVM method to train a Convolutional Neural Netwrok (CNN) model …☆28Aug 2, 2018Updated 8 years ago
- Physics-Informed Neural Network, Finite Element Method enhanced neural network, and FEM data-based neural network☆20May 8, 2026Updated 3 months ago
- Graph Neural Network-based Surrogate Models for Finite Element Analysis☆10Sep 25, 2022Updated 3 years ago
- Gigala - Open source framework for 2D/3D intelligent topology optimization by reinforcement learning and genetic algorithms.☆61Aug 29, 2026Updated last week
- Open-source, Finite element method, Finite-volume method, Multi-physics modeling, Multi-phase modeling, Uncertainty quantification (UQ), …☆14Mar 15, 2021Updated 5 years ago
- Fast computation of soft tissue thermal response under deformation based on fast explicit dynamics finite element algorithm for surgical …☆10May 30, 2022Updated 4 years ago
- Deep Learning and Finite Element Method for Physical Systems Modeling☆53Mar 15, 2019Updated 7 years ago
- Python 2.7 - Finitie Element code for 2D quadrilateral plane stress/plane strain applications using linear isoparametric formulation with…☆12Jan 29, 2019Updated 7 years ago
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- FEM enhanced neural network☆20Nov 27, 2022Updated 3 years ago
- Code and data for article "Learning nonlocal constitutive models with neural networks", CMAME☆12Sep 7, 2021Updated 4 years ago
- a FEniCs-based (Model-Free) Data-driven Computational Mechanics implementation☆13Jul 22, 2026Updated last month
- Machine Learning for Tissue Deformation Modelling (MALTIDEM): Predicting tissue deformation in real time by expressing results from FEM s…☆17Jul 29, 2017Updated 9 years ago
- ☆13May 30, 2024Updated 2 years ago
- Computational framework to implement an artificial neural network based constitutive model in Abaqus for mesh coarsening☆53Nov 25, 2018Updated 7 years ago
- This software takes in an error function or point cloud as input and selectively refines erroneous finite element regions. It is based on…☆15Dec 17, 2020Updated 5 years ago
- Multi-agent reinforcement learning for adaptive mesh refinement☆15Aug 15, 2023Updated 3 years ago
- Fast explicit dynamics finite element algorithm for transient heat transfer☆15Jan 27, 2022Updated 4 years ago
- Managed hosting for WordPress and PHP on Cloudways • AdManaged hosting for WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Deploy in minutes on Cloudways by DigitalOcean.
- In this study, we propose a novel deep learning model named as the Finite-element-informed neural network (FEI-NN), inspired from finite …☆18Jul 6, 2024Updated 2 years ago
- ☆47Nov 27, 2023Updated 2 years ago
- Benchmarking physics-constrained data-driven models of hyperelasticity against rubber and soft tissue datasets☆16Jan 15, 2023Updated 3 years ago
- The digital twin paradigm that integrates the information obtained from sensor data, physics models, as well as operational and inspectio…☆19Jan 9, 2022Updated 4 years ago
- Interfacing AI with numerical simulation.☆44Apr 10, 2025Updated last year
- Meshless methods for Computational Mechanics☆18Apr 26, 2022Updated 4 years ago
- ☆20Dec 22, 2025Updated 8 months ago
- How-to for working with COMSOL for Crystal Plasticity☆10Aug 10, 2020Updated 6 years ago
- Implementation of PhysGNN (Accepted at NeurIPS2022)☆28Nov 3, 2022Updated 3 years ago
- Simple, predictable pricing with DigitalOcean hosting • AdAlways know what you'll pay with monthly caps and flat pricing. Enterprise-grade infrastructure trusted by 600k+ customers.
- This repository contains a Python code with five implementations of topology optimization approaches suitable for 2D and 3D problems, all…☆24Dec 2, 2023Updated 2 years ago
- tools to build a good quality abaqus mesh from a 2D image, using simpleware as image processing software☆12Jul 3, 2015Updated 11 years ago
- Bayesian Deep Learning and Deep Reinforcement Learning for Object Shape Error Response and Correction of Manufacturing Systems☆48Mar 25, 2023Updated 3 years ago
- Finite element method for linear and nonlinear beams and plates☆13May 24, 2018Updated 8 years ago
- Matlab simulation of a hydrodynamically lubricated slider bearing☆11Jan 17, 2019Updated 7 years ago
- Official code for "DMIS: Dynamic Mesh-based Importance Sampling for Training Physics-Informed Neural Networks" (AAAI 2023)☆18Jan 17, 2024Updated 2 years ago
- Enhancing the convergence speed by 2x and improving the training success of Physics-Informed Neural Networks (PINNs).☆13Oct 14, 2024Updated last year